TikTok
Machine Learning Engineer, Search Ads - USDS
TikTok, Seattle, Washington, us, 98127
Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery.In order to enhance collaboration and cross-functional partnerships, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department.Responsibilities:
Participate in the development of a large-scale Ads system.Responsible for relevance model and strategy optimization, such as semantic matching models, text/photo/video multi-model, ranking strategy, etc.Participate in the development and iteration of Ads algorithms by using Machine Learning.Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc.Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering.Research and develop Ads pacing algorithms, ads traffic control, etc.Partner with product managers and product strategy & operation team to define product strategy and features.Qualifications Qualification:BS degree in Computer Science, Computer Engineering or other relevant majors.Excellent programming, debugging, and optimization skills in general purpose programming languages.Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualifications:Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python.Good understanding in one of the following domains: ad fraud detection, risk control, quality control, adversarial engineering, and online advertising systems.Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack.This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.Job Information The base salary range for this position in the selected city is $216600 - $342000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Our company benefits are designed to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match.Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.Mental and emotional health benefits through our EAP and Lyra.A 401K company match, gym and cellphone service reimbursements.
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The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery.In order to enhance collaboration and cross-functional partnerships, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department.Responsibilities:
Participate in the development of a large-scale Ads system.Responsible for relevance model and strategy optimization, such as semantic matching models, text/photo/video multi-model, ranking strategy, etc.Participate in the development and iteration of Ads algorithms by using Machine Learning.Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc.Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering.Research and develop Ads pacing algorithms, ads traffic control, etc.Partner with product managers and product strategy & operation team to define product strategy and features.Qualifications Qualification:BS degree in Computer Science, Computer Engineering or other relevant majors.Excellent programming, debugging, and optimization skills in general purpose programming languages.Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualifications:Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python.Good understanding in one of the following domains: ad fraud detection, risk control, quality control, adversarial engineering, and online advertising systems.Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack.This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.Job Information The base salary range for this position in the selected city is $216600 - $342000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Our company benefits are designed to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match.Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.Mental and emotional health benefits through our EAP and Lyra.A 401K company match, gym and cellphone service reimbursements.
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